Web-based speech recognition platform (on cloud and local deployment)

MAGOR is a web application that provides audio and video transcription services. The MAGOR system comprises three services and relies on external dependencies like Azure Cloud Storage and a centralized Automatic Speech Recognition (ASR) gateway. This thesis focuses on documenting and conducting the...

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Bibliographic Details
Main Author: Yong, Christopher Wan Kang
Other Authors: Chng Eng Siong
Format: Final Year Project (FYP)
Language:English
Published: Nanyang Technological University 2023
Subjects:
Online Access:https://hdl.handle.net/10356/165918
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author Yong, Christopher Wan Kang
author2 Chng Eng Siong
author_facet Chng Eng Siong
Yong, Christopher Wan Kang
author_sort Yong, Christopher Wan Kang
collection NTU
description MAGOR is a web application that provides audio and video transcription services. The MAGOR system comprises three services and relies on external dependencies like Azure Cloud Storage and a centralized Automatic Speech Recognition (ASR) gateway. This thesis focuses on documenting and conducting the deployment process of MAGOR, followed by streamlining and improving it. To address the security concerns of clients, a version of MAGOR that removes Azure Cloud Storage dependencies has been developed. The project also includes implementing a CI/CD pipeline and various software tests to ensure system reliability. Finally, important maintenance tasks, such as bug fixes, are also covered in this project.
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spelling ntu-10356/1659182023-04-21T15:36:55Z Web-based speech recognition platform (on cloud and local deployment) Yong, Christopher Wan Kang Chng Eng Siong School of Computer Science and Engineering ASESChng@ntu.edu.sg Engineering::Computer science and engineering MAGOR is a web application that provides audio and video transcription services. The MAGOR system comprises three services and relies on external dependencies like Azure Cloud Storage and a centralized Automatic Speech Recognition (ASR) gateway. This thesis focuses on documenting and conducting the deployment process of MAGOR, followed by streamlining and improving it. To address the security concerns of clients, a version of MAGOR that removes Azure Cloud Storage dependencies has been developed. The project also includes implementing a CI/CD pipeline and various software tests to ensure system reliability. Finally, important maintenance tasks, such as bug fixes, are also covered in this project. Bachelor of Engineering (Computer Science) 2023-04-17T00:02:51Z 2023-04-17T00:02:51Z 2023 Final Year Project (FYP) Yong, C. W. K. (2023). Web-based speech recognition platform (on cloud and local deployment). Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/165918 https://hdl.handle.net/10356/165918 en SCSE22-0087 application/pdf Nanyang Technological University
spellingShingle Engineering::Computer science and engineering
Yong, Christopher Wan Kang
Web-based speech recognition platform (on cloud and local deployment)
title Web-based speech recognition platform (on cloud and local deployment)
title_full Web-based speech recognition platform (on cloud and local deployment)
title_fullStr Web-based speech recognition platform (on cloud and local deployment)
title_full_unstemmed Web-based speech recognition platform (on cloud and local deployment)
title_short Web-based speech recognition platform (on cloud and local deployment)
title_sort web based speech recognition platform on cloud and local deployment
topic Engineering::Computer science and engineering
url https://hdl.handle.net/10356/165918
work_keys_str_mv AT yongchristopherwankang webbasedspeechrecognitionplatformoncloudandlocaldeployment